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Why proper data quality and modelling matters

Knowledge about use cases and workload is important input to your data modelling. Different kinds of compression can be relevant depending on your usage scenario. Storing data economically also means that data should be easy to use. Comparison of different compression methods (non lossy, lossy, downsampling for visual presentation).

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